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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

ANALYSIS OF EEG BASED NEUROFEEDBACK SYSTEM FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER

Swapnali Ashok Chaudhari*, Bharti Waman Gawali and Leena Yogesh Bhole

ABSTRACT

Attention Deficit Hyperactivity Disorder (ADHD) is common mental and behavioral illness in children and teenagers. It persists into adult-hood, causing disability in people of all ages. If left misdiagnosed, un-treated can progress to mental illness. Clinicians prefer variety of rat-ing scales based on psychological assessment for diagnosis. Patients are recommended various therapies in accordance with their scale val-ues. Amongst the mentioned therapies, neurofeedback is emerging therapy for diagnosing brain related diseases. The goal of neurofeedback training is to detect any abnormalities in brain signals as well as person's behavioral and cognitive performance. EEG is the most well-known and effective way for acquiring brain signals from a wide range of sources. This article focuses on research about commonly used diagnostic and therapeutic techniques, emphasizing neurofeedback training's methodological features based on computa-tional techniques. Although psychological variables must be considered, we may say that EEG can be used as an associative modality for ADHD assessment due to its accuracy.

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